Nanocrafter Xylem
vs. r pl r lv r pl r lv r pl r lv + d - d - d + d
BLIND
BLIND RATINGS
BLIND RATINGS CHOICE
Compute desired win rate using player’s rating BLIND RATINGS
Compute desired win rate using player’s rating Compute player’s win expectancy versus each BLIND remaining level RATINGS
Compute desired win rate using player’s rating Compute player’s win expectancy versus each BLIND remaining level Serve level with win expectancy closest to desired vs. win rate RATINGS
Compute desired win Compute desired win Compute desired win rate using rate using rate using (player’s rating + 400) (player’s rating – 400) player’s rating CHOICE
Compute desired win Compute desired win Compute desired win rate using rate using rate using (player’s rating + 400) (player’s rating – 400) player’s rating Compute player’s Compute player’s Compute player’s win expectancy win expectancy win expectancy versus each versus each versus each remaining level remaining level remaining level CHOICE
Compute desired win Compute desired win Compute desired win rate using rate using rate using (player’s rating + 400) (player’s rating – 400) player’s rating Compute player’s Compute player’s Compute player’s win expectancy win expectancy win expectancy versus each versus each versus each remaining level remaining level remaining level CHOICE vs. EASY RECOMMENDED HARD
Variable BLIND RATINGS CHOICE Challenge Time 515 791 897 Levels Attempted 7 10 12 Levels Completed 5 7 8
Variable BLIND RATINGS CHOICE Interest/Enjoyment 63% 65% 63% Perceived Competence 57% 52% 57% Perceived Choice 78% 80% 82% Effort/Importance 83% 86% 83%
RATINGS
RATINGS
RATINGS
CHOICE
CHOICE
Previous Easy Recommen Hard Result ded Complete 40% 49% 11% (Win) Forfeit 41% 36% 23% (Loss) Skip 57% 32% 11%
Previous Easy Recommen Hard Result ded Complete 40% 11% 49% (Win) Forfeit 41% 36% 23% (Loss) Skip 57% 32% 11%
Previous Easy Recommen Hard Result ded Complete 40% 49% 11% (Win) Forfeit 41% 36% 23% (Loss) Skip 32% 11% 57%
Previous Easy Recommen Hard Result ded Complete 40% 49% 11% (Win) Forfeit 41% 36% 23% (Loss) Skip 57% 32% 11%
Anurag Sarkar Northeastern University sarkar.an@husky.neu.edu This material is based upon work supported by the National Science Foundation under grant no. 1652537. We would like to thank the University of Washington 's Center for Game Science for initial Paradox development.
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